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Alexandre Henrique S. Dias
I’m a Computer Engineer and Data Scientist. I enjoy spending my free time studying statistics, programming and reading Data Science-related articles. At work, I play my role mostly in building visualizations to clients and contributing to the company’s R package.
Industry Experience
Data Scientist
Looqbox
São Paulo, SP
Present - 2019
- Work primarily done in R, Python, and SQL to develop graphics visualizations.
- I’m a contributor of the Looqbox R Package used to build R objects and data structures for the Looqbox Application.
Education
Advanced Machine Learning Specialization
Coursera - National Research University Higher School of Economics
N/A
Present - 2020
- This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods.
MITx Micromaster Program in Statistics and Data Science
EdX - MITx
N/A
Present - 2020
- The program covers the fundamentals of data science, statistics, and machine learning.
B.S., Computer Engineering
Federal University of Rio Grande Do Norte - UFRN
Natal, RN
2019 - 2018
- Member of the Modeling and Scientific Data Analysis team.
B.S., Sciences & Technology
Federal University of Rio Grande Do Norte
Natal, RN
2017 - 2015
- Linear Algebra and Analytical Geometry assistant teacher.
- Calculus II assistant teacher.
Research Experience
Undergraduate Researcher
Digital Metropolis Institute
UFRN
2019 - 2018
- Developed a traffic monitoring system using image recognition.
Undergraduate Researcher
Department of Informatics and Applied Mathematics
UFRN
2017 - 2016
- Developed an interactive theorem prover based on Linear Logical using the Maude programming language.
Selected Data Science Writing
I am most interested in readings about data science, statistics, and AI.
A mathematical derivation of the Law of Total Variance
The Startup, Medium
N/A
2020
- O que é e como usar a lei da variância total.
Clustering with K-means: simple yet powerful
Medium
N/A
2019
- Explain what is Cluster Analysis, and how the K-means algorithm work providing its pros and cons.
An introduction to Linear Regression
Medium
N/A
2019
- Explain all assumptions behind Linear Regression models, how to measure their performance, and how to implement a model in Python.
Academic Publications
Paper published in the 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT). Naples, Italy.
Performance Evaluation of an Edge OBD-II Device for Industry 4.0
Institute of Electrical and Electronics Engineers - IEEE
N/A
2019
- Authored with Ivanovitch Silva, Paolo Ferrari, Diego Silva, Marianne Silva, and Gabriel Signoretti.
Certificates & Courses
DataCamp completed tracks
DataCamp
N/A
2019 - 2018
- Data Scientist with Python.
- Data Analyst with Python.
- Data Manipulation with Python.
- Machine Learning with Python.
- Importing & Cleaning Data with Python.
- Python Programming.
- Python Programmer.
Talks
Understand what is Data Science and how this field is going to color the 21st Century (translated)
Arduino Day 2019: A worldwide celebration of Arduino
UFRN
Mar. 2019
- Invited talk about what is data science and what it takes to become a data scientist.
Predicting Pulsar Stars: How Data Science helps us understand the universe (translated)
II seminar on Data Science Applications
UFRN
Dec. 2018
- Talk about the importance of detecting Pulsar Stars, and how we can implement a simple neural network to beat XGBoost.